Identifying Local and Centralized Mental Health Services—The Development of a New Categorizing Variable

International Journal of Environmental Research and Public Health

Taina Ala-Nikkola¹  Grigori Joffe¹  Minna Sadeniemi¹  Minna Kaila¹  Raija Kontio¹  Olli Oranta²  Samuli I. Saarni²  Kristian Wahlbeck³  Sami Pirkola⁴ 

[1] Clinic of Psychiatry and Clinic of Public Health Välskärinkatu 12 and Stenbäckinkatu 9, University of Helsinki and Helsinki University Hospital, FI-00029 Helsinki, Finland;Turku University Hospital and University of Turku, Kiinanmyllynkatu 4-8, FI-20520 Turku, Finland;Unit for Mental Health, National Institute for Health and Welfare (T.H.L.), Mannerheimintie 168, FI-00270 Helsinki, Finland;University of Tampere School of Health Sciences and Tampere University Hospital, Lääkärinkatu 1, FI-33014 Tampere, Finland;

关键词: mental health care;    health service research;    integrated care;    European Service Mapping Schedule-Revised;   

DOI  :  10.3390/ijerph15061131

来源: DOAJ

【 摘 要 】

The challenges of mental health and substance abuse services (MHS) require shifting of the balance of resources from institutional care to community care. In order to track progress, an instrument that can describe these attributes of MHS is needed. We created a coding variable in the European Service Mapping Schedule-Revised (ESMS-R) mapping tool using a modified Delphi panel that classified MHS into centralized, local services with gatekeeping and local services without gatekeeping. For feasibility and validity, we tested the variable on a dataset comprising MHS in Southern Finland, covering a population of 2.3 million people. There were differences in the characteristics of services between our study regions. In our data, 41% were classified as centralized, 37% as local without gatekeeping and 22% as local services with gatekeeping. The proportion of resources allocated to local services varied from 20% to 43%. Reclassifying ESMS-R is an easy way to compare the important local vs. centralized balance of MHS systems globally, where such data exists. Further international studies comparing systems and validating this approach are needed.

【 授权许可】

Unknown